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Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!Responsibilities: • Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale., • Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks., • Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability., • Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure., • Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems., • Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform., • Mentor junior engineers and contribute to a culture of technical excellence, • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure team compliance with QMS, monitor quality, and drive process improvements.Required Skills:, • Phd or MS in Computer Science, Electrical Engineering, or related field, • Good oral and written communication skills, • Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems., • Proficiency in in Python, C++, SQL, • Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow), • Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments), • Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)., • Strong knowledge of distributed systems, databases, and storage solutions., • Extensive software design and development skills., • Ability to learn and adapt to new technologies and contribute in a productive environment.Preferred Skills:, • Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models, • Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray

Job DescriptionAI/ML Architect Job Description We are currently seeking a highly skilled and visionary AI Architect to join our dynamic team. As an AI Architect, you will be instrumental in shaping the AI strategy and technical direction of our projects. You will work closely with our talented team of data scientists, engineers, and product managers to design and implement state-of-the-art AI solutions that meet the needs of our clients and propel our company forward. Responsibilities AI Strategy and Solution Design · Collaborate with clients and internal stakeholders to understand their business objectives and pain points and translate them into AI-driven strategies and solutions.· Lead the design and architecture of end-to-end AI systems, including data collection, preprocessing, feature engineering, model selection, training, and deployment.· Stay informed about the latest advancements in AI and machine learning to ensure our solutions remain at the cutting edge. Technical Leadership· Provide technical expertise and guidance to our AI development team, including data scientists, machine learning engineers, and software developers.· Lead by example and promote best practices in AI development, ensuring code quality, scalability, and maintainability of AI systems.· Foster a culture of innovation, continuous learning, and knowledge sharing within the AI team. Model Development and Evaluation · Oversee the development and evaluation of machine learning models to ensure they meet the highest standards of accuracy and performance.· Implement robust testing and validation procedures to identify and address potential issues early in the development process. Infrastructure and Deployment · Collaborate with our DevOps and IT teams to design and maintain scalable AI infrastructure for efficient model training, testing, and deployment.· Ensure smooth integration of AI models into production systems and monitor their performance in real-world scenarios. Data Governance and Ethics · Champion data governance and privacy best practices to ensure ethical and responsible AI development.· Collaborate with legal and compliance teams to navigate potential legal and ethical implications related to AI projects. Job Requirements · Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.· Proven track record with10+yrs in designing and delivering enterprise grade AI-powered solutions, AI & ML products that drive customer and business value. Experience leading AI strategy for enterprise or large-scale platforms.· In-depth knowledge of various AI and machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.· Proficiency in programming languages like Python, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).· Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.· Proficiency with LLMs, RAG and AI agents· Practical experience with deep learning projects· Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI-related services.· Excellent analytical and problem-solving skills with the ability to think creatively and propose innovative AI solutions.· Previous experience in supply chain and logistics preferred.· Outstanding communication and leadership skills, enabling effective collaboration with cross-functional teams and stakeholders.· Certifications in cloud AI platforms or data engineering.· A portfolio of successful AI projects or publications in reputable conferences/journals is highly desirable. Perks · The expected salary range for this position is $150,00 - $180,000 USD· Flexible time-off· Excellent health benefits· Stock options· Exciting hyper growth phase where you can stand out and make a difference. Join our vibrant and forward-thinking team at KlearNow.ai as we continue to push the boundaries of AI technology. We offer a competitive salary, flexible work arrangements, and ample opportunities for professional growth. If you are passionate about shaping the future of Global Trade and making a difference, we invite you to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.Key Responsibilities • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve LLM algorithms to work with other models such as computer vision models, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job Description About Meshy Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1. Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV. • No. 1 popularity, among 3D AI tools, according to A16Z games,, • No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),, • Leading 3D foundation model, delighted texture & fine geometry,, • $52M funding by Top VCs,, • Strategic HR Leadership: Partner with executive leadership to build and execute people strategies that support our growth and evolving organizational needs., • Organizational Design & Culture Building: Lead initiatives to strengthen company culture, enhance cross-border collaboration, and foster a high-performing, inclusive work environment., • Talent Acquisition: Drive the recruitment of top-tier talent in AI, engineering, product, and other critical functions, with a focus on building a strong employer brand in the tech ecosystem., • HR Infrastructure: Set up and refine HR policies, processes, and systems that are compliant, scalable, and aligned with best practices for high-growth startups., • Performance & Development: Build and implement frameworks for performance reviews, compensation planning, employee development, and retention.What We're Looking For:, • 10+ years of progressive HR experience in fast-paced, global tech or startup environments., • Proven success in scaling an organization from early stage (<100) to mid-size (300+), including team building and HR infrastructure setup., • Strong background in organizational management, culture development, and employee engagement across different time zones and cultures., • Hands-on experience with hiring and retaining high-caliber technical and creative talent., • Bilingual fluency in English and Mandarin., • Strategic thinker with a builder's mindset - comfortable operating in ambiguity and driving change.Our Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Competitive salary, benefits and stock options., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job Description Special Education Teacher About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Attend additional trainings upon requestExperience and Requirements, • Current Education Specialist Credential (moderate to severe), • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.) Salary and Position Classification • Exempt Position, • Full-Time, • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR kgPbqqdzLu

Job Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit About the Role As a Machine Learning Engineer on our Recommendation team, you will contribute to building and improving the machine learning systems that power personalized content delivery to millions of users. You'll work closely with senior engineers and data scientists to develop scalable algorithms, data pipelines, and experimentation tools that enhance user experience and engagement. This is an ideal opportunity for a new graduate or early-career engineer who is passionate about large-scale machine learning, recommendation systems, and solving real-world problems through data-driven innovation. Responsibilities • MS degree in Computer Science, Machine Learning, or a related quantitative field., • Academic or project experience in one or more of the following areas: machine learning, recommendation systems, deep learning, relevance modeling, feed ranking, or data mining., • Proficiency in Java or Scala., • Familiarity with scripting languages such as Python, Perl, or shell scripting., • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or MXNet., • Internship or research experience related to recommendation systems or large-scale ML model deployment., • Familiarity with data processing frameworks (e.g., Spark, Flink, or Hadoop)., • Opportunity to work on high-impact ML projects that influence millions of users., • A collaborative, learning-driven environment where mentorship and growth are prioritized.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities • Develop the foundational world model to accurately simulate the physical world., • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters., • Develop metrics and evaluation benchmarks to better assess model performance., • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation., • Optimize inference efficiency to enable real-time interaction. Areas of Focus, • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale., • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data., • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction., • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation., • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence., • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience, • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork., • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

Job Description Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan, and Japan. This is a hybrid position at our Sunnyvale location. The Opportunity Sonatus is seeking a highly motivated Senior AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems. We embrace a hybrid work environment, and require this person to come into our Sunnyvale HQ 3 days a week to collaborate with peers and management. Role and Responsibilities • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges., • Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth)., • Strong domain expertise in the AI area including LLM. Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc., (AI depth)., • Stay current with industry trends and advancements in data science and AI technologies, (State-of-the-Art)., • Perform data analysis and offer insights to inform business decisions across multiple domains., • Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information., • Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions., • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations., • Take charge of projects, ensuring timely completion in a dynamic work environment.Requirements, • Bachelor degree in computer science, engineering, mathematics, applied sciences or similar field., • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred., • 5+ years of professional experience working with machine learning algorithms, AI technologies, and platforms., • Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)., • Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and proficiency in SQL., • Solid experience in data preprocessing, feature engineering, and model evaluation techniques., • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus., • Strong knowledge of software development best practices, version control systems, and agile methodologies., • Results-driven with a positive can-do attitude and excellent problem-solving skills., • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams., • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Computer Accessory AllowanceRecent Publications:

Job DescriptionSalary: $22 - $29 / hour About RISE Education System RISE Academy is a subsidiary of RISE Education System, a 501(c)(3) non-profit educational organization that is accredited by the Western Association of Schools and Colleges (WASC) and Cognia. It is our mission to promote the holistic development of the child through an authentic and experiential student learning experience. This is accomplished by educating the child in the formation of faith, family and community. RISE Academy strives for the development of the whole child by providing excellence in academic preparation in a faith-based environment. It is our vision to guide and nurture students to become role models who will exhibit high levels of God-consciousness, professional excellence and civic leadership by serving society at large. This job opening is for a full-time homeroom elementary teacher position for the 2025-2026 school year at the RISE Academy San Jose Campus. Job Expectations: • Shared Vision: Supports a vision of excellence for all students, with an urgency to maximize every opportunity necessary to achieve ambitious student outcomes, • Culture of Excellence: Fosters a safe, culturally responsive and nurturing community where students love learning and are excited to attend school daily, • Teaching and Learning: Creates powerfully engaging experiences aligned to our academic model, and designed to accelerate student learning and achievement, • Data & Assessment: Regularly engage in individual student case management, by proactively making data-driven decisions, • Innovation: Develops and executes innovative STREAM (Science, Technology, Religion, Engineering, Art, and Math) strategies to ensure a world-class and well-rounded education, • Professional Growth: Committed to continuous growth, actively engages in professional development opportunities, and contributes to our professional learning community, • Community Outreach: Demonstrates commitment to the community by communicating regularly with families and attending key school community events Responsibilities Include: • Planning, developing, and implementing lesson plans that fulfill the requirements of the schools instructional program and showing written evidence of preparations as required, • Preparing lessons that reflect accommodations for differences in student abilities and learning styles, • Modifying curricula as needed for special education students according to guidelines established in Individual Education Plans (IEP), • Providing students with appropriate learning activities and experiences designed to help them fulfill their potential for intellectual, emotional, physical, spiritual, and social growth, • Conducting ongoing assessments of student achievement through formal and informal testing and providing remediation as appropriate to ensure student mastery, • Creating a classroom environment conducive to active and successful student learning and appropriate for the physical, social, spiritual, and emotional development of students, • Establishing and maintaining effective open communication with students, parents, teachers, and administrators, • Participating in staff professional development activities, • Completing appropriate documentation for students participating in special programs as required by state and federal guidelines, • Abiding by the staff handbook, all policies, procedures, laws, and state/federal regulations, • Assisting with school events and extracurricular activities, • Performing other duties as assigned Required Skills/Qualities: • Bachelor's degree from an accredited university, • Knowledge of curriculum and instruction, • Knowledge of subjects assigned, including current research, • Ability to differentiate instructions based on the needs of the students, • Ability to effectively manage a classroom and student behavior, • Ability to communicate effectively with others, • Skill in modifying instruction for various student needs, • Ability to work with various forms of equipment including, but not limited to, personal computers, calculators, projectors, and printers, • Ability to work with computer tools, including but not limited to, email, internet, word processing and spreadsheets, • Ability to work in collaborative team-based environments Preferred Skills/Qualities: • Masters degree in Education, Child Development, Curriculum Instruction, or other education-related field, • 2+ years of teaching experience in a formal setting, • Valid teaching credential Compensation: The compensation range is based on teaching credentials (non-credentialed vs. credentialed), working experience, academic degrees, and certifications. Children of staff members are eligible for tuition discounts.

Job Description About Meshy Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1. Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV. • No. 1 popularity, among 3D AI tools, according to A16Z games,, • No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),, • Leading 3D foundation model, delighted texture & fine geometry,, • $52M funding by Top VCs, About the Role We're seeking a skilled Senior 3D Graphics Pipeline Engineer with a solid background in AAA game development or high-end film/VFX workflows. The ideal candidate will combine practical production experience with strong coding capabilities to architect and build tools that enable our data team to clean, curate, and enhance large-scale 3D datasets—critical for training next-generation 3D foundation models. This role bridges production-grade asset creation with the execution of scalable, reliable data pipelines. What You'll Do • Pipeline Architecture & Tool Development, • Design and build robust, scalable tools and pipelines for 3D data editing, cleaning, and transformation., • Enable efficient processing of large datasets, ensuring assets are optimized for downstream AI training, simulation, or rendering workflows., • Production-Level Asset Expertise, • Establish and enforce standards for geometry, UV layouts, LODs, topology, textures, and asset metadata—aligned with AAA game or VFX production pipelines., • Identify and resolve common asset quality issues like non-manifold geometry, inconsistent scales, broken UVs, missing maps, or inefficient mesh topology., • Cross-Team Collaboration, • Closely partner with research teams to align curation guidelines with model training needs; translate production requirements into actionable filtering rules and pipeline designs., • Work hand-in-hand with the data team to implement cleaning workflows, asset validation tools, and curation strategies., • Technical Integration with DCC Tools, • Develop and maintain pipeline integrations between key 3D DCC tools (Houdini, Blender, Maya) and custom processing frameworks., • 3+ years of professional experience in AAA game studios, VFX pipelines, or comparable high-quality 3D production environments., • Proficiency in C++ and scripting languages (Python, Javascript), with demonstrable experience developing production tools or plugins for DCCs., • Deep understanding of the end-to-end 3D production pipeline: modeling, texturing, topology, LOD creation, asset optimization., • Practical familiarity with Houdini, Blender, and Maya, including scripting or tool creation within those environments., • Well-organized and experienced in documentation, asset management, and version control (Git) Nice to Have • Experience with multithreaded and GPU programming, • Experience with USD, OpenSubdiv, or Hydra, • Experience scaling pipelines for large 3D datasets, particularly for AI/ML training., • Knowledge of distributed processing tools or versioning systems for art pipelines (e.g. Shotgun, Perforce)., • Familiarity with USD, procedural modeling, or shader workflows. Our Values • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Competitive salary, benefits and stock options., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the Role We are looking for a Graphics Research Engineer with deep expertise in computer graphics to support the processing of large-scale 3D data. This role is ideal for individuals passionate about rendering, geometry processing, and their interaction with modern Generative AI technologies. You will work closely with our research team to build next-generation AI systems grounded in high-quality visual and geometric data. What You'll Do: • Develop and optimize algorithms for 3D data processing, including mesh simplification, point cloud registration, and remeshing., • Implement high-performance rendering pipelines (e.g., rasterization, ray tracing, PBR)., • Build scalable tools for 3D data ingestion, conversion, and preprocessing to support generative model training., • Collaborate with AI researchers and engineers to integrate 3D data into multimodal model pipelines., • Evaluate and apply state-of-the-art techniques in computer graphics and generative modeling.What We're looking for:, • 3+ years of hands-on experience in computer graphics or a related field., • Strong programming skills in C++ and Python., • Solid theoretical foundation in rendering or geometry processing., • Proficiency with at least one graphics development stack or geometry processing library, such as:, • OpenGL, Vulkan, OptiX, DirectX, or Metal, • CGAL, Open3D, Kaolin, or Trimesh, • Familiar with Generative AI algorithms (e.g., diffusion models, GANs, VAEs, flow-based models)., • Experience with large-scale visual / 3D data processing pipelines.Nice to Have:, • Experience of multimodal training such as 3D, video generation, or computer vision methods., • Contributions to popular open-source graphics/machine learning projects., • Publications in top-tier CG/AI/ML/CV conferences.Our Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Stock options available for core team members., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Staff Software Engineer who brings a passion for innovation and problem-solving, not limited to traditional coding. This role is for those with deep expertise in server-side languages, database technologies, and cloud infrastructure, excited to design and build the backbone of our AI solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance back-end systems, and integrating advanced AI into data teams' daily workflows. Qualifications: Required: * 10+ years of experience building Python-based web application backends and the infrastructure on which they run * Extensive experience in building scalable back-end systems, APIs, and microservices * Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Preferred: * Experience with FastAPI for building high-performance APIs * Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) * Strong proficiency in SQL, including query profiling, optimization, and performance tuning * Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot) Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. * Intelligent SQL Ecosystem: Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements and implementing granular column-level lineage. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $150,000 - $220,000 [influenced by your expertise, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.6% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Staff Software Engineer who brings a passion for innovation and problem-solving, not limited to traditional coding. This role is for those with deep expertise in server-side languages, database technologies, and cloud infrastructure, excited to design and build the backbone of our AI solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance back-end systems, and integrating advanced AI into data teams' daily workflows. Qualifications: Required: * 10+ years of experience building Python-based web application backends and the infrastructure on which they run * Extensive experience in building scalable back-end systems, APIs, and microservices * Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Preferred: * Experience with FastAPI for building high-performance APIs * Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) * Strong proficiency in SQL, including query profiling, optimization, and performance tuning * Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot) Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. * Intelligent SQL Ecosystem: Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements and implementing granular column-level lineage. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $50,000 - $120,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.4% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job DescriptionSenior Architect: Compute and Dataflow About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers from NVIDIA, Google, and Meta, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking a highly motivated and skilled Research Scientist with deep expertise in chip microarchitecture, dataflow-centric design, and interconnect/network-on-chip (NoC) optimization to join our central architecture team. This role focuses on pushing the boundaries of performance, efficiency, and scalability for next-generation compute systems by exploring novel microarchitectural innovations and optimizing data movement across the compute fabric. You will work on cutting-edge problems in defining the architecture of our core compute engines, optimizing them for best PPA, and collaborating with cross-disciplinary teams to prototype and evaluate new ideas and concepts, and eventually make it to a state-of-the-art chip and system we are building. Key responsibilities * Drive research and development of next-generation chip microarchitecture with a focus on dataflow-centric and interconnect/NoC optimization. * Prototype and evaluate end-to-end compute systems. * Build performance and power models for our next generation chips. * Collaborate with cross-disciplinary teams to explore architectural innovations that enhance performance, efficiency, and scalability. * Contribute to shaping future computing platforms in AI/ML and cloud infrastructure. You may be a good fit if you have * A PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. * Experience in microarchitecture design and hardware-software co-design. * Proficiency in systems-level programming languages such as C or C++. * A strong research background in computer systems design and architecture. * Expertise in chip microarchitecture, dataflow architectures, and network-on-chip/interconnect systems. * Experience with memory hierarchy design, interconnect topologies, coherence protocols, and scalable compute fabrics. Strong candidates may also have experience with * Publishing in top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, DAC, and SIGARCH. * Hardware modeling tools such as gem5, RTL simulation, or cycle-accurate simulators, along with performance analysis methodologies. * Systems for machine learning (ML), accelerators, and heterogeneous compute platforms. * Designing and building experimental or production-grade computing systems. Benefits * Full medical, dental, and vision packages, with generous premium coverage * Housing subsidy of $2,000/month for those living within walking distance of the office * Daily lunch and dinner in our office * Relocation support for those moving to West San Jose Compensation Range * $150,000 - $275,000 How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Learn more at . About the Job As an ML Engineer at Field AI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies. You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance. This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.What You’ll Get To Do: • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack., • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making., • Leverage imitation learning and reinforcement learning to advance planning and reasoning of our models., • Explore novel data generation and collection pipelines to enrich training datasets., • Assist with deploying machine learning models into production environments, • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable, • Troubleshoot issues related to model deployment, performance, and system integration.What You Have:, • Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or related field., • Strong experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX)., • Deep understanding of contemporary deep learning architectures, optimization, and evaluation., • Proven experience deploying ML models into production (robotics, self-driving, or NLP preferred)., • Hands-on expertise in imitation learning and reinforcement learning., • Working knowledge of C++ for deployment and system integration.The Extras That Set You Apart: We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Job DescriptionInfrastructure Software Engineer About Etched Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Job Summary Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack - from simulation to silicon. We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we do to our ASIC, software, and platform. You will lead the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes building and scaling our hybrid high-performance compute (HPC) cluster, optimized for massively parallel CI, EDA workflows, Emulation, and hardware-aware job execution. You’ll also architect and implement a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and smart alerting - across CI pipelines, simulation clusters, and service endpoints. This role demands a strong software engineering mindset, quality instincts, and deep understanding of systems. It’s not just about writing scripts - it’s about writing code that builds and manages infrastructure with precision, repeatability, and intent. Key responsibilities * Architect and Scale Distributed Compute Systems: Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale. * Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack. * Optimize End-to-End Developer Experience: Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity.. * Workload Elasticity, Reliability, and Efficiency: Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends. * Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization. * Push the Limits of Observability: Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain proactive against issues impacting development and productivity workflows. Representative projects * Design and deploy a fully automated, scalable hybrid HPC cluster, combining bare-metal servers and switches with cloud instances, provisioned through MaaS and orchestrated via SLURM and Kubernetes, optimized for mixed EDA workloads and parallel CI pipelines. * Develop a real-time observability system for ASIC toolchain jobs and distributed builds, integrating Prometheus, Grafana, and VictoriaMetrics with streaming telemetry, tracing, and alerting to detect performance regressions before they hit silicon. * Architect and implement a programmable infrastructure-as-code control plane, using Terraform, Ansible, and Puppet, to version, audit, and redeploy every layer of Etched's development stack with deterministic reproducibility. * Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network, abstracting away cluster state and machine failures. * Prototype and evaluate dynamic workload migration strategies between on-premise and cloud environments to optimize for latency, reliability, and cost across simulation and synthesis pipelines. * Design a synthetic testing and fault injection framework to validate the behavior of infrastructure under high-load, degraded hardware, and intermittent network partitions - before they happen in production. You may be a good fit if you * Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale. * Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control,small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration. * Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling. * Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems. * Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems. * Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks. * Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads. * Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts. * Have 4+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered. * Are driven by curiosity, take initiative, and have an innate sense of ownership — you thrive in uncharted territory, design for edge cases, and love making systems more powerful, reliable, and elegant. Strong candidates may also have experience with * Familiarity with Bazel build system * Deep understanding of ASIC development flows, especially those involving Synopsys, Cadence, and Verilator, including how EDA tools interact with infrastructure for simulation, synthesis, and verification. * Hands-on experience architecting systems with AWS, GCP, or Azure, including hybrid on-prem/cloud deployments, workload migration strategies, and cloud-native orchestration tooling. * Experience monitoring, provisioning, and debugging bare-metal servers, network hardware, and high-performance storage systems in rack-scale environments. * Comfortable in profiling and optimizing compute environments for single-threaded latency, memory-bound workloads, or I/O throughput, especially in the context of simulation or CI performance. * Proficiency building or operating telemetry systems at scale using Prometheus, Grafana, Loki, VictoriaMetrics, and tools for distributed tracing, log aggregation, and real-time alerting across heterogeneous mediums (SMS, email, push alerts, etc.) Base Compensation Range * $175,000 - $250,000 Benefits * Full medical, dental, and vision packages, with generous premium coverage * Housing subsidy of $2,000/month for those living within walking distance of the office * Daily lunch and dinner in our office * Relocation support for those moving to San Jose (Santana Row) How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $250K

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience. Qualifications: * 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run * 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices * Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization * (Desirable) Working knowledge of static code analysis of SQL * (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript * (Desirable) Familiarity with AI and machine learning concepts * (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * (Desirable) Involvement in open-source projects Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Front-End Development for DataPilot Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide. * VSCode Extension Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.2% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career In the Layer-7 Security Software team, we are responsible for at least one, often two to three headline features in every PANOS release. Our code reaches many product lines in the company, and is the critical part of delivering the highest revenue licenses the company offers. Our core Application Identification and Content Inspection Engine runs on Hardware, Virtualized, Container and Cloud-delivered firewalls. Any features that require the inspection or extraction of layer-7 network payload depends on our engine. We are also developing the latest Cloud-delivered Layer-7 security infrastructure. We design and develop key innovative security features such as the industry first Machine Learning powered NGFW, Credential Phishing prevention, URL-filtering, Cloud-delivered Data leak protection (DLP), and many more exciting features. Are you looking to tackle a variety of challenging problems across the network, firewall, and Cloud platforms with a team of collaborative and experienced software engineers? Are you eager to expand to and innovate in the latest security platforms and delivery technologies in the industry? Would you like to be part of a fast moving and engaging team that executes and delivers cutting edge features like a start-up but with the support of an established leading security company? We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. As a key member of Layer-7 Security group, you will be responsible for designing and developing GlobalProtect, one of the best and most popular secure network connection applications, and other security features on the next-generation firewalls. You will work with product management on user requirements, apply your knowledge to functional design, utilize your programming skills for efficient and robust implementation, and interact with quality assurance and field support teams throughout the entire software development cycle. Your Impact • Innovate, design, develop and improve the Next-Generation Firewall in terms of functionality and performance, working on GlobalProtect, • Own and be responsible for critical components in the Next-Generation Firewall system, • Deliver features and improvements in critical components in high quality and performance, • As an expert on networking and security, work closely with team members and cross-team to design and architect innovative solutionsQualifications Your Experience • B.S. degree in Computer Science, similar technical discipline or equivalent practical experience, Graduate degree (MS or Ph.D.) in Computer Science or similar technical discipline is preferred or equivalent military experience required, • Proficient in C programming under Linux development environment, • Experience with multi-threaded programming and large-scale, distributed, and/or high-performance software design and architect, • Verbal and written communication skills to work with multi-functional groups, • Teammate who brings a can-do attitude to a dynamic working environment and is comfortable learning new technologies and platforms, • Experience with HTTP and web server backend development, • Experience with networking development, eg. TCP/UDP, Socket programming, • Experience with Redis, SQL or NoSQL database, • Experience with Go programming Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about building products to solve problems no one has pursued before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled chance to create the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147,000/YR - $237,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.